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Found 6414 publications

A Method for Measuring Normal and Shear Stiffness of Laminate Stacks of Electric Motors

Dániel Feszty Balázs Pere Dániel Harrach Viktor Szabó

Publication Name: Periodica Polytechnica Mechanical Engineering

Publication Date: 2023-01-01

Volume: 67

Issue: 2

Page Range: 110-117

Description:

Structural simulations of electric motors require precise material models. Laminate stacks that are made of several identical steel sheets are particularly challenging to simulate using FEA. The structural stiffness of laminate stacks usually follows transversal isotropic behavior. Measuring a complete laminate stack used in passenger cars is challenging due to its size and the high testing load needed to reach real loads experienced while in operation. A new method capable of performing such measurements is presented in this article, with the help of equipment normally used for testing structures used in civil engineering. Two sets of exemplary results are presented utilizing this measurement procedure, that were performed on a real automotive rotor laminate stack: axial compression stiffness from a cyclic test, and shear stiffness at various axial preload levels. In the axial compression load case, the loading and unloading curves form a hysteresis, that changes in every test cycle. Shear stiffness shows high dependance on the axial compression preload. After loading and unloading the stack with shear loads, significant plastic deformations remain.

Open Access: Yes

DOI: 10.3311/PPme.20505

How the Categorisation of SDG Targets into ESG Pillars can Inform the Corporate SDG Report

Robert Rickards Bence Lukács

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 193-198

Description:

In this research, SDG standards are mapped to the environmental, social, and governance (ESG) pillars through Triple-Bottom Line (TBL) groupings based on the Global Reporting Initiative (GRI) guidelines and accounting items, which allow SDG standards to be harmonised with the ESG pillars. Two methodologies developed in the literature for classifying SDG standards into TBL groupings were also used to create a ranking scheme. This scheme can help companies determine which SDG standards are most important for their sustainability reporting. Companies report on the steps they have taken towards sustainability and the sustainability aspects of their operations in their ESG sustainability reports. In many cases, their reporting includes information on SDGs, which, like ESG reporting, does not have a standard disclosure methodology, so announcements are made with different information, in different formats, by different companies. To make SDG reporting more consistent, harmonisation with existing ESG reporting methodologies could be identified as a forward step in this field because it would help to produce more informed, consistent SDG reporting. In addition to integrating SDGs into ESG reporting methodologies, SDGs also could be integrated into ESG scoring methodologies, which would be more relevant to stakeholders and the stock market. The paper will review ESG reporting and scoring methodologies, with a particular focus on which methodology is most appropriate for harmonisation. By defining the integration methodology, the study contributes to the public policy discussion about sustainable reporting.

Open Access: Yes

DOI: 10.3303/CET23107033

Genetic and Bacterial Programming for B-Spline Neural Networks Design

János Botzheim Cristiano L. Cabrita António E. Ruano Laszlo T. Koczy

Publication Name: Journal of Advanced Computational Intelligence and Intelligent Informatics

Publication Date: 2007-03-01

Volume: 11

Issue: 2

Page Range: 220-231

Description:

The design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is presented, which is based on the replication of the microbial evolution phenomenon. This technique produces an efficient topology search, obtaining additionally more consistent solutions.

Open Access: Yes

DOI: 10.20965/jaciii.2007.p0220

Investigation of the Geometrical Deterioration Process of Tramway Superstructure Systems – A Case Study

Szabolcs Fischer Zoltán Major Mykola Sysyn Attila Németh Dmytro Kurhan Vivien Jóvér

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 1

Page Range: 345-364

Description:

Tramway tracks deteriorate over time due to operational loads, environmental conditions, and structural factors. This study analyzes the geometric degradation of Budapest's tramway tracks using long-term measurements. Track gauge and longitudinal level were assessed with the TrackScan 4.01 instrument to evaluate deterioration across different superstructure types. Findings indicate that concrete slab tracks experience gauge widening, while embedded rail systems tend to narrow under similar conditions, with structural design playing a greater role than traffic intensity. Measurement limitations highlight the need for improved monitoring tools. These insights support more effective maintenance strategies, ensuring greater durability and sustainability.

Open Access: Yes

DOI: 10.12700/APH.23.1.2026.1.20

Hungarian Battery Production – Public Opinion on Sustainability, Labor Market and the Environmental Protection

Szonja Jenei Szilvia Módosné Szalai Sándor Remsei

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 691-696

Description:

Transportation in the 20th century was linked to hydrocarbons. The first steps of the transition to electric propulsion are currently underway. Technical experts are still debating whether this is the ideal solution while producing the batteries required for the method has begun. One of the main areas of high-speed industrialization is Hungary. The government's intention is clear, primarily to increase GDP and create jobs. The population knows that jobs can only be filled by foreign, immigrant workers and is extremely worried about possible accidents during production and destruction. The research aims to explore the opinions in detail and examine the possibilities of approximating different positions. This quantitative study found that the respondents would like to live at an unrealistically large distance from such facilities. Many people want the battery factories to be banned or the investments to be stopped, and the fact that very few people are informed from the literature plays a significant role. The greatest fear is experienced among the middle-aged, and we justify our findings with social facts and negative events. In order to resolve the tensions, it is recommended to educate the masses on the one hand, and on the other hand, stricter control, and more significant sanctions. These methods ensure that negotiations between the population, civil organizations, and companies end with a compromise created by a debate supported by arguments in civilized conditions.

Open Access: Yes

DOI: 10.3303/CET23107116

Investigation of the impact of a solar panel system installed on an heavy-duty truck trailer on fuel consumption at the ZalaZONE test track

András Háry Gergő Sütheö Leticia Pekk Richárd Peszleg

Publication Name: Advances in Science and Technology Research Journal

Publication Date: 2025-01-01

Volume: 19

Issue: 4

Page Range: 304-310

Description:

This study evaluates the impact of a solar panel system installed on a heavy-duty truck (HDV) trailer on fuel consumption, tested at the ZalaZONE track. Two vehicles were assessed – diesel-powered and an liquefied natural gas (LNG) powered truck, with the latter equipped with solar panels. Over five days, the solar system powered cabin electronics, reducing idle time and fuel use. While fuel and carbon dioxide (CO₂) savings were observed, performance was limited by battery charge and sunlight exposure. The results show potential for up to 10% fuel savings, demonstrating the system’s feasibility for reducing emissions in long-haul transport, though further optimization is needed.

Open Access: Yes

DOI: 10.12913/22998624/200029

Issues about autonomous cars

Claudiu Radu Pozna Csaba Antonya

Publication Name: Saci 2016 11th IEEE International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2016-07-07

Volume: Unknown

Issue: Unknown

Page Range: 13-18

Description:

The Autonomous car is a complex topic, different technical fields like: Automotive engineering, Control engineering, Informatics, Artificial Intelligence etc. are involved in solving the human driver replacement with an artificial (agent) driver. The problem is even more complicated because usually, nowadays, having and driving a car defines our lifestyle. This means that the mentioned (major) transformation is also a cultural issue. The paper will start with the mentioned cultural aspects related to a self-driving car and will continue with the big picture of the system.

Open Access: Yes

DOI: 10.1109/SACI.2016.7507360

A fast and stable multi-level solution technique for the method of fundamental solutions

Csaba Gáspár

Publication Name: Lecture Notes in Computational Science and Engineering

Publication Date: 2019-01-01

Volume: 129

Issue: Unknown

Page Range: 19-42

Description:

The classical form of the Method of Fundamental Solutions is applied. Instead of using a single set of subtly located external sources, a special strategy of defining several sets of external source points is introduced. The sets of sources are defined by the quadtree/octtree subdivision technique controlled by the boundary collocation points in a completely automatic way, resulting in a point set, the density of the spatial distribution of which decreases quickly far from the boundary. The ‘far’ sources are interpreted to form a ‘coarse grid’, while the densely distributed ‘near-boundary’ sources are considered a ‘fine grid’ (despite they need not to have any grid structure). Based on this classification, a multi-level technique is built up, where the smoothing procedure is defined by performing some familiar iterative technique e.g. the (conjugate) gradient method. The approximate solutions are calculated by enforcing the boundary conditions in the sense of least squares. The resulting multi-level method is robust and significantly reduces the computational cost. No weakly or strongly singular integrals have to be evaluated. Moreover, the problem of severely ill-conditioned matrices is completely avoided.

Open Access: Yes

DOI: 10.1007/978-3-030-15119-5_2

Sensitivity analysis and optimization of pier shape scour prediction using HEC-RAS

Muhanad Al-Jubouri Ethar H. Abbas Richard P. Ray

Publication Name: Pollack Periodica

Publication Date: 2025-06-27

Volume: 20

Issue: 2

Page Range: 8-15

Description:

Scour around bridge piers threatens bridge stability. This study uses the Hydrologic Engineering Center River Analysis System to improve depth estimates for various pier shapes. The Colorado State University and Froehlich equations were tested with a one-dimensional model calibrated for circular, square, rectangular, oblong, oval, and cylindrical piers. Sensitivity analysis identified coefficients K2, K3, flow velocity, and depth as key factors, with K2 being most significant. The Colorado State University equation overestimated scour depths, especially for square piers. The Froehlich method provided more accurate predictions, confirming the system’s value in hydraulic modeling for bridge stability analysis.

Open Access: Yes

DOI: 10.1556/606.2024.01211